From c833e90750b680a3b3475f9d858d26398d060a1f Mon Sep 17 00:00:00 2001 From: topepo Date: Wed, 28 Aug 2024 13:37:32 -0400 Subject: [PATCH 1/7] testing and snapshot updates for tidymodels/parsnip#1162 --- tests/testthat/_snaps/glmnet-linear.md | 2 +- tests/testthat/_snaps/glmnet-logistic.md | 2 +- tests/testthat/_snaps/glmnet-multinom.md | 2 +- tests/testthat/_snaps/parsnip-case-weights.md | 46 +++++++++++++++++++ .../parsnip-survival-censoring-model.md | 2 +- .../parsnip-survival-censoring-weights.md | 12 ++--- .../_snaps/parsnip-survival-standalone.md | 6 +-- .../recipes1.1.0/recipes-nnmf_sparse.md | 36 +++++++++++++++ tests/testthat/test-glmnet-linear.R | 2 +- tests/testthat/test-glmnet-logistic.R | 2 +- tests/testthat/test-glmnet-multinom.R | 2 +- .../test-parsnip-survival-censoring-weights.R | 4 +- 12 files changed, 101 insertions(+), 17 deletions(-) create mode 100644 tests/testthat/_snaps/parsnip-case-weights.md create mode 100644 tests/testthat/_snaps/recipes1.1.0/recipes-nnmf_sparse.md diff --git a/tests/testthat/_snaps/glmnet-linear.md b/tests/testthat/_snaps/glmnet-linear.md index b3a14e94..950ada48 100644 --- a/tests/testthat/_snaps/glmnet-linear.md +++ b/tests/testthat/_snaps/glmnet-linear.md @@ -25,6 +25,6 @@ linear_reg(penalty = 0.01) %>% set_engine("glmnet") %>% fit(mpg ~ ., data = mtcars) %>% multi_predict(mtcars, type = "class") Condition - Error in `check_pred_type()`: + Error in `multi_predict()`: ! For class predictions, the object should be a classification model. diff --git a/tests/testthat/_snaps/glmnet-logistic.md b/tests/testthat/_snaps/glmnet-logistic.md index 0840124a..a9408d92 100644 --- a/tests/testthat/_snaps/glmnet-logistic.md +++ b/tests/testthat/_snaps/glmnet-logistic.md @@ -36,6 +36,6 @@ funded_amnt) + int_rate + term, data = lending_club) %>% multi_predict( lending_club, type = "time") Condition - Error in `check_pred_type()`: + Error in `multi_predict()`: ! For event time predictions, the object should be a censored regression. diff --git a/tests/testthat/_snaps/glmnet-multinom.md b/tests/testthat/_snaps/glmnet-multinom.md index 8f3f5ca7..bb06bfcc 100644 --- a/tests/testthat/_snaps/glmnet-multinom.md +++ b/tests/testthat/_snaps/glmnet-multinom.md @@ -33,6 +33,6 @@ multinom_reg(penalty = 0.01) %>% set_engine("glmnet") %>% fit(class ~ ., data = hpc_data) %>% multi_predict(hpc_data, type = "numeric") Condition - Error in `check_pred_type()`: + Error in `multi_predict()`: ! For numeric predictions, the object should be a regression model. diff --git a/tests/testthat/_snaps/parsnip-case-weights.md b/tests/testthat/_snaps/parsnip-case-weights.md new file mode 100644 index 00000000..514109c6 --- /dev/null +++ b/tests/testthat/_snaps/parsnip-case-weights.md @@ -0,0 +1,46 @@ +# boost_tree - xgboost case weights + + Code + print(wt_fit$fit$call) + Output + xgboost::xgb.train(params = list(eta = 0.3, max_depth = 6, gamma = 0, + colsample_bytree = 1, colsample_bynode = 1, min_child_weight = 1, + subsample = 1), data = x$data, nrounds = 15, watchlist = x$watchlist, + verbose = 0, nthread = 1, objective = "binary:logistic") + +# decision_tree - rpart case weights + + Code + print(wt_fit$fit$call) + Output + rpart::rpart(formula = Class ~ ., data = data, weights = weights) + +# logistic_reg - stan case weights + + Code + print(wt_fit$fit$call) + Output + rstanarm::stan_glm(formula = Class ~ ., family = stats::binomial, + data = data, weights = weights, seed = ~1, refresh = 0) + +# mars - earth case weights + + Code + print(wt_fit$fit$call) + Output + earth(formula = Class ~ ., data = data, weights = weights, keepxy = TRUE, + glm = ~list(family = stats::binomial)) + +# mlp - nnet case weights + + Case weights are not enabled by the underlying model implementation. + +# rand_forest - ranger case weights + + Code + print(wt_fit$fit$call) + Output + ranger::ranger(x = maybe_data_frame(x), y = y, num.threads = 1, + verbose = FALSE, seed = sample.int(10^5, 1), probability = TRUE, + case.weights = weights) + diff --git a/tests/testthat/_snaps/parsnip-survival-censoring-model.md b/tests/testthat/_snaps/parsnip-survival-censoring-model.md index 903474e2..8f882d18 100644 --- a/tests/testthat/_snaps/parsnip-survival-censoring-model.md +++ b/tests/testthat/_snaps/parsnip-survival-censoring-model.md @@ -21,5 +21,5 @@ predict(alt_obj, time = 100) Condition Error in `predict()`: - ! Don't know how to predict with a censoring model of type: reverse_km + ! Don't know how to predict with a censoring model of type reverse_km. diff --git a/tests/testthat/_snaps/parsnip-survival-censoring-weights.md b/tests/testthat/_snaps/parsnip-survival-censoring-weights.md index 8ba79a25..92c055fb 100644 --- a/tests/testthat/_snaps/parsnip-survival-censoring-weights.md +++ b/tests/testthat/_snaps/parsnip-survival-censoring-weights.md @@ -4,7 +4,7 @@ .censoring_weights_graf("nothing useful") Condition Error in `.censoring_weights_graf()`: - ! There is no `.censoring_weights_graf()` method for objects with class(es): 'character' + ! There is no `.censoring_weights_graf()` method for objects with class . --- @@ -12,7 +12,7 @@ .censoring_weights_graf(cox_model, lung) Condition Error: - ! There should be a single column of class `Surv` + ! There should be a single column of class . --- @@ -22,7 +22,7 @@ .censoring_weights_graf(cox_model, lung_left) Condition Error in `.censoring_weights_graf()`: - ! For this usage, the allowed censoring type is: 'right' + ! For this usage, the allowed censoring type is right. --- @@ -30,7 +30,7 @@ .censoring_weights_graf(cox_model, lung2) Condition Error: - ! The input should have a list column called `.pred`. + ! The input should have a list column called ".pred". --- @@ -38,7 +38,7 @@ .censoring_weights_graf(cox_model, preds, cens_predictors = "shouldn't be using this anyway!") Condition Warning: - The 'cens_predictors' argument to the survival weighting function is not currently used. + `cens_predictors` is not currently used. Output # A tibble: 3 x 2 .pred surv @@ -60,6 +60,6 @@ Code .censoring_weights_graf(wrong_model, mtcars) Condition - Error in `.check_censor_model()`: + Error in `.censoring_weights_graf()`: ! The model needs to be for mode 'censored regression', not for mode 'regression'. diff --git a/tests/testthat/_snaps/parsnip-survival-standalone.md b/tests/testthat/_snaps/parsnip-survival-standalone.md index 8e941ebb..c3c8abad 100644 --- a/tests/testthat/_snaps/parsnip-survival-standalone.md +++ b/tests/testthat/_snaps/parsnip-survival-standalone.md @@ -4,7 +4,7 @@ parsnip:::.is_surv(1) Condition Error: - ! The object does not have class `Surv`. + ! The object does not have class . # .check_cens_type() @@ -12,7 +12,7 @@ parsnip:::.check_cens_type(left_c, type = "right", fail = TRUE) Condition Error: - ! For this usage, the allowed censoring type is: 'right' + ! For this usage, the allowed censoring type is right. --- @@ -20,5 +20,5 @@ parsnip:::.check_cens_type(left_c, type = c("right", "interval"), fail = TRUE) Condition Error: - ! For this usage, the allowed censoring types are: 'right' and 'interval' + ! For this usage, the allowed censoring types are right or interval. diff --git a/tests/testthat/_snaps/recipes1.1.0/recipes-nnmf_sparse.md b/tests/testthat/_snaps/recipes1.1.0/recipes-nnmf_sparse.md new file mode 100644 index 00000000..f47bed4c --- /dev/null +++ b/tests/testthat/_snaps/recipes1.1.0/recipes-nnmf_sparse.md @@ -0,0 +1,36 @@ +# Correct values + + Code + print(rec) + Message + + -- Recipe ---------------------------------------------------------------------- + + -- Inputs + Number of variables by role + outcome: 1 + predictor: 4 + + -- Operations + * Non-negative matrix factorization for: all_predictors() + +# No NNF + + Code + print(rec) + Message + + -- Recipe ---------------------------------------------------------------------- + + -- Inputs + Number of variables by role + outcome: 1 + predictor: 4 + + -- Training information + Training data contained 150 data points and no incomplete rows. + + -- Operations + * No non-negative matrix factorization was extracted from: Sepal.Length, + Sepal.Width, Petal.Length, Petal.Width | Trained + diff --git a/tests/testthat/test-glmnet-linear.R b/tests/testthat/test-glmnet-linear.R index 26bac500..d8e177c3 100644 --- a/tests/testthat/test-glmnet-linear.R +++ b/tests/testthat/test-glmnet-linear.R @@ -265,7 +265,7 @@ test_that('multi_predict() with default or single penalty value', { test_that('error traps', { skip_if_not_installed("glmnet") - skip_if_not_installed("parsnip", minimum_version = "1.2.1.9001") + skip_if_not_installed("parsnip", minimum_version = "1.2.1.9002") expect_snapshot(error = TRUE, { linear_reg(penalty = 0.01) %>% diff --git a/tests/testthat/test-glmnet-logistic.R b/tests/testthat/test-glmnet-logistic.R index 2be46e8e..52336b08 100644 --- a/tests/testthat/test-glmnet-logistic.R +++ b/tests/testthat/test-glmnet-logistic.R @@ -377,7 +377,7 @@ test_that("class predictions are factors with all levels", { test_that('error traps', { skip_if_not_installed("glmnet") - skip_if_not_installed("parsnip", minimum_version = "1.2.1.9001") + skip_if_not_installed("parsnip", minimum_version = "1.2.1.9002") data("lending_club", package = "modeldata", envir = rlang::current_env()) diff --git a/tests/testthat/test-glmnet-multinom.R b/tests/testthat/test-glmnet-multinom.R index 5dea6a2c..8b7f7197 100644 --- a/tests/testthat/test-glmnet-multinom.R +++ b/tests/testthat/test-glmnet-multinom.R @@ -399,7 +399,7 @@ test_that("class predictions are factors with all levels", { test_that('error traps', { skip_if_not_installed("glmnet") - skip_if_not_installed("parsnip", minimum_version = "1.2.1.9001") + skip_if_not_installed("parsnip", minimum_version = "1.2.1.9002") data("hpc_data", package = "modeldata", envir = rlang::current_env()) diff --git a/tests/testthat/test-parsnip-survival-censoring-weights.R b/tests/testthat/test-parsnip-survival-censoring-weights.R index b3aba3d1..d9b3ab51 100644 --- a/tests/testthat/test-parsnip-survival-censoring-weights.R +++ b/tests/testthat/test-parsnip-survival-censoring-weights.R @@ -174,6 +174,8 @@ test_that('compute Graf weights', { }) test_that("error messages in context of .censoring_weights_graf()", { + skip_if_not_installed("parsnip", minimum_version = "1.2.1.9002") + lung2 <- lung %>% dplyr::mutate(surv = Surv(time, status), .keep = "unused") @@ -228,7 +230,7 @@ test_that("error for .censoring_weights_graf.workflow()", { test_that("error for .censoring_weights_graf() from .check_censor_model()", { # temporarily its own test, see above - skip_if_not_installed("parsnip", minimum_version = "1.1.0.9003") + skip_if_not_installed("parsnip", minimum_version = "1.2.1.9002") wrong_model <- fit(linear_reg(), mpg ~ ., data = mtcars) expect_snapshot(error = TRUE, .censoring_weights_graf(wrong_model, mtcars)) }) From 6de119f4e83192c424b9056f38a81de963799502 Mon Sep 17 00:00:00 2001 From: topepo Date: Wed, 28 Aug 2024 13:38:45 -0400 Subject: [PATCH 2/7] temp add remote for testing --- DESCRIPTION | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index c643204a..f6ba6479 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -73,7 +73,8 @@ Suggests: yardstick Remotes: mixOmicsTeam/mixOmics, - r-lib/pillar + r-lib/pillar, + tidymodels/parsnip#1162 biocViews: mixOmics Config/testthat/edition: 3 Config/testthat/start-first: parsnip-extension-messaging From f13bff8be775442109dcd50083c6dc9623d8c7fc Mon Sep 17 00:00:00 2001 From: topepo Date: Wed, 28 Aug 2024 15:24:09 -0400 Subject: [PATCH 3/7] update two other tests/snapshots --- tests/testthat/_snaps/randomForest.md | 12 ++++++++---- tests/testthat/_snaps/recipes-varying.md | 13 +++++++++++++ tests/testthat/test-recipes-varying.R | 4 ++-- 3 files changed, 23 insertions(+), 6 deletions(-) create mode 100644 tests/testthat/_snaps/recipes-varying.md diff --git a/tests/testthat/_snaps/randomForest.md b/tests/testthat/_snaps/randomForest.md index 00b1400d..625591d3 100644 --- a/tests/testthat/_snaps/randomForest.md +++ b/tests/testthat/_snaps/randomForest.md @@ -4,9 +4,11 @@ f_fit <- spec %>% fit(body_mass_g ~ ., data = penguins) Condition Warning: - 1000 columns were requested but there were 6 predictors in the data. 6 will be used. + ! 1000 columns were requested but there were 6 predictors in the data. + i 6 will be used. Warning: - 1000 samples were requested but there were 333 rows in the data. 333 will be used. + ! 1000 samples were requested but there were 333 rows in the data. + i 333 will be used. --- @@ -14,7 +16,9 @@ xy_fit <- spec %>% fit_xy(x = penguins[, -6], y = penguins$body_mass_g) Condition Warning: - 1000 columns were requested but there were 6 predictors in the data. 6 will be used. + ! 1000 columns were requested but there were 6 predictors in the data. + i 6 will be used. Warning: - 1000 samples were requested but there were 333 rows in the data. 333 will be used. + ! 1000 samples were requested but there were 333 rows in the data. + i 333 will be used. diff --git a/tests/testthat/_snaps/recipes-varying.md b/tests/testthat/_snaps/recipes-varying.md new file mode 100644 index 00000000..ffd98987 --- /dev/null +++ b/tests/testthat/_snaps/recipes-varying.md @@ -0,0 +1,13 @@ +# recipe steps with non-varying args error if specified as varying() + + Code + varying_args(rec_bad_varying) + Condition + Error in `map()`: + i In index: 1. + Caused by error in `map2()`: + i In index: 5. + i With name: skip. + Caused by error in `.f()`: + ! The argument skip for a recipe step of type "step_type" is not allowed to vary. + diff --git a/tests/testthat/test-recipes-varying.R b/tests/testthat/test-recipes-varying.R index 498a61fc..6eba4ab0 100644 --- a/tests/testthat/test-recipes-varying.R +++ b/tests/testthat/test-recipes-varying.R @@ -65,9 +65,9 @@ test_that("recipe steps with non-varying args error if specified as varying()", rec_bad_varying <- rec_1 rec_bad_varying$steps[[1]]$skip <- varying() - expect_error( + expect_snapshot( varying_args(rec_bad_varying), - "The following argument for a recipe step of type 'step_center' is not allowed to vary: 'skip'." + error = TRUE ) }) From 6698246857761af970777a83900fd027cbebdfe7 Mon Sep 17 00:00:00 2001 From: topepo Date: Thu, 29 Aug 2024 09:36:20 -0400 Subject: [PATCH 4/7] updated results --- .../parsnip-survival-censoring-weights.md | 4 ++-- .../_snaps/parsnip-survival-standalone.md | 4 ++-- tests/testthat/_snaps/randomForest.md | 8 ++++---- tests/testthat/_snaps/survival-tune-bayes.md | 6 ------ .../dyn-bayes-2-times-perf.png | Bin 14431 -> 13492 bytes .../_snaps/survival-tune-bayes/dyn-bayes.png | Bin 16875 -> 15154 bytes .../int-bayes-2-times-perf.png | Bin 13690 -> 13048 bytes .../survival-tune-bayes/mix-bayes-0-times.png | Bin 25088 -> 23693 bytes .../mix-bayes-2-times-perf.png | Bin 22244 -> 20152 bytes .../stc-bayes-2-times-perf.png | Bin 12274 -> 11632 bytes 10 files changed, 8 insertions(+), 14 deletions(-) diff --git a/tests/testthat/_snaps/parsnip-survival-censoring-weights.md b/tests/testthat/_snaps/parsnip-survival-censoring-weights.md index 92c055fb..0d001db9 100644 --- a/tests/testthat/_snaps/parsnip-survival-censoring-weights.md +++ b/tests/testthat/_snaps/parsnip-survival-censoring-weights.md @@ -22,7 +22,7 @@ .censoring_weights_graf(cox_model, lung_left) Condition Error in `.censoring_weights_graf()`: - ! For this usage, the allowed censoring type is right. + ! For this usage, the allowed censoring type is "right". --- @@ -61,5 +61,5 @@ .censoring_weights_graf(wrong_model, mtcars) Condition Error in `.censoring_weights_graf()`: - ! The model needs to be for mode 'censored regression', not for mode 'regression'. + ! The model needs to be for mode "censored regression", not for mode 'regression'. diff --git a/tests/testthat/_snaps/parsnip-survival-standalone.md b/tests/testthat/_snaps/parsnip-survival-standalone.md index c3c8abad..c9a0baa9 100644 --- a/tests/testthat/_snaps/parsnip-survival-standalone.md +++ b/tests/testthat/_snaps/parsnip-survival-standalone.md @@ -12,7 +12,7 @@ parsnip:::.check_cens_type(left_c, type = "right", fail = TRUE) Condition Error: - ! For this usage, the allowed censoring type is right. + ! For this usage, the allowed censoring type is "right". --- @@ -20,5 +20,5 @@ parsnip:::.check_cens_type(left_c, type = c("right", "interval"), fail = TRUE) Condition Error: - ! For this usage, the allowed censoring types are right or interval. + ! For this usage, the allowed censoring types are "right" or "interval". diff --git a/tests/testthat/_snaps/randomForest.md b/tests/testthat/_snaps/randomForest.md index 625591d3..d2504242 100644 --- a/tests/testthat/_snaps/randomForest.md +++ b/tests/testthat/_snaps/randomForest.md @@ -5,10 +5,10 @@ Condition Warning: ! 1000 columns were requested but there were 6 predictors in the data. - i 6 will be used. + i 6 predictors will be used. Warning: ! 1000 samples were requested but there were 333 rows in the data. - i 333 will be used. + i 333 samples will be used. --- @@ -17,8 +17,8 @@ Condition Warning: ! 1000 columns were requested but there were 6 predictors in the data. - i 6 will be used. + i 6 predictors will be used. Warning: ! 1000 samples were requested but there were 333 rows in the data. - i 333 will be used. + i 333 samples will be used. diff --git a/tests/testthat/_snaps/survival-tune-bayes.md b/tests/testthat/_snaps/survival-tune-bayes.md index 21b7630a..afac488a 100644 --- a/tests/testthat/_snaps/survival-tune-bayes.md +++ b/tests/testthat/_snaps/survival-tune-bayes.md @@ -13,9 +13,6 @@ Code expect_snapshot_plot(print(autoplot(bayes_dynamic_res)), "dyn-bayes") - Condition - Warning in `filter_plot_eval_time()`: - No evaluation time was set; a value of 5 was used. # Bayesian tuning survival models with mixture of metric types @@ -32,9 +29,6 @@ Code expect_snapshot_plot(print(autoplot(bayes_mixed_res)), "mix-bayes-0-times") - Condition - Warning in `filter_plot_eval_time()`: - No evaluation time was set; a value of 5 was used. --- diff --git a/tests/testthat/_snaps/survival-tune-bayes/dyn-bayes-2-times-perf.png b/tests/testthat/_snaps/survival-tune-bayes/dyn-bayes-2-times-perf.png index 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zS7mbs%4^X~i=Z;ockGlAby4m;1FeNaqz`HM-qb#M18K~FJFA%8YAe9v9lSq(I}C~(Z?5BnoSNqw<%?M?EB`F?F*jv*_|fd+6}sjCkNt{_fK=k z;WKrAOF0v2zXq=PUB)WB*h9fj@w$XtYPr)r&CkBi*(OBk)GIhc*P zYtnwHmr@dqIWUP9w2DN^yMG)+8HnWM5eI>=`Hq-@o$#0$@CFo0jdGlPp3hPIYVQW8 zz)f?iW;d;*2Z(eae4{{auiWB)NL;>KvfIiM-0ILRZsw-&CF_+)C6+i7MAEj67AC$1 zU#ch{a=K5Q#pB#7PjxsL>D9;YnM&32;SV~R{Gn58f0~OmQ17eGapb;~UP7?)N^g8@ zC=(Rk65FZh@5&Ti6g{b&{bV)$wPKa*3;9`SSlFY<^Jf5b)e?HXZaIlb}vtAtXZ%bSdp z+HC@q`SgKkry`C%JbrN?o8wt?;0Lh(p}=>UX57P9bBQB2ErgG@mw!DXro3iulfZQU zMXhzRce)4Nde=7(<_QkG!}`rfR%(~W$>u#N#kXFFNQr^4GM~y(g5-O-ARf4$Z&v@q zzOScibz4cE@9CWzYF9ywFHVfO$pYfngf!l&_kP~Pn>66Ze|>}RM|IVQ8S;hV2jJhB nS9SdFLSbG4q+tKn<&-H1-L>t{;p+?i-4-dUBJ)+s@YVkSdaxPH From 360aa09c388f4f8acccee95b126571effd7e30af Mon Sep 17 00:00:00 2001 From: simonpcouch Date: Thu, 29 Aug 2024 08:39:20 -0500 Subject: [PATCH 5/7] remove parsnip `Remotes` --- DESCRIPTION | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index f6ba6479..c643204a 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -73,8 +73,7 @@ Suggests: yardstick Remotes: mixOmicsTeam/mixOmics, - r-lib/pillar, - tidymodels/parsnip#1162 + r-lib/pillar biocViews: mixOmics Config/testthat/edition: 3 Config/testthat/start-first: parsnip-extension-messaging From 01f2fc16b33fe16a05bbb94293a14cd8939f1fb1 Mon Sep 17 00:00:00 2001 From: topepo Date: Thu, 29 Aug 2024 11:18:35 -0400 Subject: [PATCH 6/7] a few more skips based on cran version failures --- tests/testthat/test-parsnip-survival-standalone.R | 1 + tests/testthat/test-randomForest.R | 1 + tests/testthat/test-recipes-varying.R | 1 + 3 files changed, 3 insertions(+) diff --git a/tests/testthat/test-parsnip-survival-standalone.R b/tests/testthat/test-parsnip-survival-standalone.R index 0d48b8ed..8fab75eb 100644 --- a/tests/testthat/test-parsnip-survival-standalone.R +++ b/tests/testthat/test-parsnip-survival-standalone.R @@ -11,6 +11,7 @@ test_that(".is_surv()", { }) test_that(".check_cens_type()", { + skip_if_not_installed("parsnip", minimum_version = "1.2.1.9002") times <- seq(1, 100, length.out = 5) events <- c(1, 0, 1, 0, 1) left_c <- survival::Surv(times, events, type = "left") diff --git a/tests/testthat/test-randomForest.R b/tests/testthat/test-randomForest.R index 6a8ebb41..f989b38e 100644 --- a/tests/testthat/test-randomForest.R +++ b/tests/testthat/test-randomForest.R @@ -218,6 +218,7 @@ test_that('randomForest regression prediction', { test_that('argument checks for data dimensions', { skip_if_not_installed("randomForest") + skip_if_not_installed("parsnip", minimum_version = "1.2.1.9002") data(penguins, package = "modeldata") penguins <- na.omit(penguins) diff --git a/tests/testthat/test-recipes-varying.R b/tests/testthat/test-recipes-varying.R index 6eba4ab0..c44b6cc3 100644 --- a/tests/testthat/test-recipes-varying.R +++ b/tests/testthat/test-recipes-varying.R @@ -61,6 +61,7 @@ test_that('recipe parameters', { test_that("recipe steps with non-varying args error if specified as varying()", { withr::local_options(lifecycle_verbosity = "quiet") + skip("not applicable") rec_bad_varying <- rec_1 rec_bad_varying$steps[[1]]$skip <- varying() From 3085ae69c4e894341e13f83bb26beba4ece5d47a Mon Sep 17 00:00:00 2001 From: topepo Date: Thu, 29 Aug 2024 12:28:05 -0400 Subject: [PATCH 7/7] a few more skips based on cran version failures --- tests/testthat/test-parsnip-survival-censoring-model.R | 2 +- tests/testthat/test-parsnip-survival-standalone.R | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/tests/testthat/test-parsnip-survival-censoring-model.R b/tests/testthat/test-parsnip-survival-censoring-model.R index 71cd70c6..548e4690 100644 --- a/tests/testthat/test-parsnip-survival-censoring-model.R +++ b/tests/testthat/test-parsnip-survival-censoring-model.R @@ -115,7 +115,7 @@ test_that("predict() avoids zero probabilities", { }) test_that("Handle unknown censoring model", { - skip_if_not_installed("parsnip", minimum_version = "1.1.0.9002") + skip_if_not_installed("parsnip", minimum_version = "1.2.1.9002") mod_fit <- survival_reg() %>% fit(Surv(time, status) ~ age + sex, data = lung) diff --git a/tests/testthat/test-parsnip-survival-standalone.R b/tests/testthat/test-parsnip-survival-standalone.R index 8fab75eb..7708756a 100644 --- a/tests/testthat/test-parsnip-survival-standalone.R +++ b/tests/testthat/test-parsnip-survival-standalone.R @@ -1,6 +1,7 @@ skip_if_not_installed("survival") test_that(".is_surv()", { + skip_if_not_installed("parsnip", minimum_version = "1.2.1.9002") times <- seq(1, 100, length.out = 5) events <- c(1, 0, 1, 0, 1) right_c <- survival::Surv(times, events)